Data storage channel equalization using neural networks

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dc.contributor.authorNair, SKko
dc.contributor.authorMoon, Jaekyunko
dc.date.accessioned2013-03-02T21:34:16Z-
dc.date.available2013-03-02T21:34:16Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-09-
dc.identifier.citationIEEE TRANSACTIONS ON NEURAL NETWORKS, v.8, no.5, pp.1037 - 1048-
dc.identifier.issn1045-9227-
dc.identifier.urihttp://hdl.handle.net/10203/75638-
dc.description.abstractUnlike in many communication channels, the read signals in thin-film magnetic recording channels are corrupted by non-Gaussian, data-dependent noise and nonlinear distortions. In this work we use feedforward neural networks-a multilayer perceptron (MLP) and its simplified variations-to equalize these signals, We demonstrate that they improve the performance of data recovery schemes in comparison with conventional equalizers, The variations of the MLP equalizer are suitable for the low complexity VLSI implementation required in data storage systems. We also present a novel training criterion designed to reduce the probability of error for the recovered digital data, The results were obtained both from experimental data and from a software recording channel simulator using thin-film disk and magnetoresistive head models.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectDECISION FEEDBACK EQUALIZATION-
dc.subjectRECORDING-SYSTEMS-
dc.subjectPARTIAL-RESPONSE-
dc.subjectFILM MEDIA-
dc.subjectPERFORMANCE-
dc.subjectNOISE-
dc.subjectDENSITY-
dc.subjectPRML-
dc.subjectNONLINEARITIES-
dc.subjectMODEL-
dc.titleData storage channel equalization using neural networks-
dc.typeArticle-
dc.identifier.wosidA1997XT98500008-
dc.identifier.scopusid2-s2.0-0031234316-
dc.type.rimsART-
dc.citation.volume8-
dc.citation.issue5-
dc.citation.beginningpage1037-
dc.citation.endingpage1048-
dc.citation.publicationnameIEEE TRANSACTIONS ON NEURAL NETWORKS-
dc.identifier.doi10.1109/72.623206-
dc.contributor.localauthorMoon, Jaekyun-
dc.contributor.nonIdAuthorNair, SK-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorchannel equalization-
dc.subject.keywordAuthormultilayer perceptron-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordPlusDECISION FEEDBACK EQUALIZATION-
dc.subject.keywordPlusRECORDING-SYSTEMS-
dc.subject.keywordPlusPARTIAL-RESPONSE-
dc.subject.keywordPlusFILM MEDIA-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusNOISE-
dc.subject.keywordPlusDENSITY-
dc.subject.keywordPlusPRML-
dc.subject.keywordPlusNONLINEARITIES-
dc.subject.keywordPlusMODEL-
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